9 Stories About AI for Your Holiday Reading List

Artificial intelligence could facilitate major economic breakthroughs. On the other hand, it might bring dangerous challenges. Charles Jones, a professor of economics, models the tradeoffs.

“What is generative AI? What happened?” In this View From The Top conversation, Nvidia CEO Jensen Huang answers this question, tracing the complex history of artificial intelligence back to its foundation.

As AI is integrated into more industries, leaders must make an emotional leap. In this episode of If/Then, Professor Kuang Xu argues that rather than being viewed as a terrifying force, AI must be understood as a tool for leveraging data.

Could generative AI be the “holy grail” of medical innovation? Dr. Robert Pearl, a professor at Stanford’s medical school and a lecturer at Stanford GSB, is hopeful that AI will soon help doctors provide personalized treatment.

Meet MOHR: the multi-objective hierarchical recommender. Yuyan Wang, an assistant professor of marketing, partnered with Uber Eats to build an AI-boosted recommendation system that balances the goals of restaurants, customers, and delivery drivers.

Randomized trials have long been used to test policies and interventions. Professors Susan Athey, PhD ’95, and Jann Spiess are using machine learning to glean more insights from these experiments.

Mohsen Bayati, a professor of operations, information, and technology, used machine learning to identify the signs of physician stress. The results: Overworked doctors’ case notes contain hints of their burnout.

As ChatGPT becomes increasingly fluent, we must raise our standards of communication. On this episode of Think Fast, Talk Smart, Russ Altman of the Stanford Institute for Human-Centered Artificial Intelligence discusses the future of communication with lecturer Matt Abrahams.